Bayesian Machine Learning in Python AB Testing
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
Tailored for data scientists, analysts, and professionals, this program offers a deep dive into Bayesian methods for effective AB testing, a critical aspect of decision-making in various industries.
What You Will Learn:
- Introduction to Bayesian Machine Learning:
- Gain a solid foundation in Bayesian principles, understanding probability distributions, Bayes' theorem, and the Bayesian approach to statistical inference.
- AB Testing Fundamentals:
- Explore the basics of AB testing, its importance in experimentation, and traditional frequentist methods for hypothesis testing.
- Understand the limitations of frequentist approaches and the need for a Bayesian perspective in AB testing.
- Bayesian AB Testing Workflow:
- Learn the step-by-step workflow of conducting Bayesian AB testing, from formulating prior beliefs to updating them with observed data.
- Understand the concept of posterior distributions and how they guide decision-making in AB testing.
- Prior Specification and Updating:
- Dive into the art of specifying informative priors and updating them with observed data.
- Explore the impact of different prior choices on the results of Bayesian AB testing.
- Comparison with Frequentist Methods:
- Understand the key differences between Bayesian and frequentist approaches to AB testing.
- Explore scenarios where Bayesian methods provide additional insights and robustness.
- Bayesian Modeling Techniques:
- Explore advanced Bayesian modeling techniques, including hierarchical modeling, Bayesian regression, and probabilistic programming.
- Apply these techniques to complex AB testing scenarios for more nuanced insights.
- Practical Applications:
- Apply your knowledge through hands-on projects, simulating real-world AB testing scenarios.
- Gain practical experience in formulating priors, updating beliefs, and making decisions based on Bayesian principles.
The Bayesian perspective brought a new level of clarity and depth to my understanding. The instructors explain complex concepts in a way that's easy to grasp, and the practical applications were incredibly helpful. I appreciated the focus on real-world scenarios and the flexibility Bayesian methods offer. This course has significantly improved my approach to AB testing, and I feel more confident in making data-driven decisions.
- Rebecca
The instructors provide a comprehensive understanding of Bayesian principles and their application in AB testing. The hands-on projects are challenging but rewarding, allowing me to see the immediate impact of Bayesian methods on decision-making. The emphasis on prior specification and the comparison with frequentist methods adds valuable depth to the course.
- David
Your Instructor
Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!
Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.
All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.